Figure 1. StormSensor Scutes™ deployed at priority outfalls across Jersey City.

The Issue

Before the study, the city had only been able to report CSOs when predicted by a model, and had no way to validate that model. 

This presented not only a regulatory issue, but also concern that planned  multi-million dollar spends on retro-fixes and controls may not be based on the most solid data.

The Issue

Before the study, the city had only been able to report CSOs when predicted by a model, and had no way to validate that model. 

This presented not only a regulatory issue, but also concern that planned  multi-million dollar spends on retro-fixes and controls may not be based on the most solid data.

Figure 1. StormSensor Scutes™ deployed at priority outfalls across Jersey City.

Figure 2. StormSensor data showing the first four CSO events detected during the first phase of the expanded monitoring project.

StormSensor Detection

An initial pilot deployment of four Scutes was installed in 2018, followed by an expansion in 2019. Over the course of this study, StormSensor worked with the city to develop metrics to identify CSO flows in real-time. One challenge the city expressed was the ability to identify storm flows at monitoring points that are impacted by tidal flows that cannot be evaluated in a straightforward manner.

Figure 2. StormSensor data showing the first four CSO events detected during the first phase of the expanded monitoring project.

StormSensor Detection

An initial pilot deployment of four Scutes was installed in 2018, followed by an expansion in 2019. Over the course of this study, StormSensor worked with the city to develop metrics to identify CSO flows in real-time. One challenge the city expressed was the ability to identify storm flows at monitoring points that are impacted by tidal flows that cannot be evaluated in a straightforward manner.

Figure 3. StormSensor’s summary charts present basic statistics for each monitoring point. In this case, we quantify the impact of the first four CSO events detected during Phase One of the expanded monitoring project.

True End-to-End Solutions

 

StormSensor is currently working to develop an algorithm that will allow JCMUA and other coastal cities to parse out these source contributions in real time and has plans to further expand the monitoring network in Jersey City in the coming year. 

True End-to-End Solutions

 

StormSensor is currently working to develop an algorithm that will allow JCMUA and other coastal cities to parse out these source contributions in real time and has plans to further expand the monitoring network in Jersey City in the coming year. 

Figure 3. StormSensor’s summary charts present basic statistics for each monitoring point. In this case, we quantify the impact of the first four CSO events detected during Phase One of the expanded monitoring project.

StormSensor transmits data from the sewer system to the cloud every five minutes, allowing for detection of CSO events within ten minutes of beginning.

Contact Us

At StormSensor, we believe that good decisions are driven by good data. As a team, we're bringing to life solutions that streamline insights for smarter decisions. If you're involved with water infrastructure, then send us a note. Tell us your challenges and learn more about how we're leveraging new technology to solve old problems.

Green InfrastructureIllicit Discharge DetectionCombined Sewer OverflowsStormwater Model ValidationUrban flooding managementCoastal management and sea-level riseCommercial stormwater managementOther